Why We Built Symbient AI for 'Ordinary Business Users'
Remember when the internet was supposed to make everything easier? Then smartphones would revolutionize work? Now it's AI's turn.
But here's what nobody's talking about: most AI tools feel like they were built by developers for developers. If you're running a business โ whether it's just you or a team of 500 โ you probably don't have time to become a prompt engineer or learn how to write Python.
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The AI world has become this weird competition where companies race to build the biggest, most complex models possible. It's like car manufacturers competing to build the fastest race car when most people only need a reliable Honda Civic.
These massive models come with massive price tags. And guess who pays? You do! As companies burn through millions in server costs, those expenses trickle down to every subscription fee.
But bigger doesn't always mean better. These huge models are like having a library with 50 million books but no card catalog. They've got so much information that they often can't find the right answer.
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At Lucus Labs, we asked: what if we built AI that actually worked for regular business people? Not the kind where you need a developer and DevOps team. Not the kind where you're constantly worried about data leaks. Not the kind that costs more every month.
We built Symbient AI for business owners who need answers, not tech headaches.
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- Privacy first. Your data stays your data. We don't use it to train our models.
- No vendor lock-in. We built our own infrastructure instead of relying on other platforms.
- Actually useful. Instead of chasing leaderboard rankings, we focus on solving real business problems.
- Accessible to everyone. You shouldn't need a computer science degree to get value from AI.
AI should be a force multiplier for your business, not another monthly expense that requires a training manual.
We built Symbient AI because every business owner deserves AI that actually works for them.